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Python Data Jobs in Maryland (NOW HIRING)

AST SpaceMobile

Data Engineer Lead

Lanham, MD · On-site

$102K - $135K/yr

Python (data processing, automation, pipeline development) * Cloud platforms such as AWS (preferred), Azure, or GCP * ETL/ELT tools such as Airflow, Prefect, or Azure Data Factory * Modern data ...

Tactibit Technologies LLC

Python Developer

Suitland, MD · On-site +1

$54 - $74.50/hr

... data processing. You will design and implement fully automated enterprise pipelines using a suite ... Python Developer responsibilities are: * Design and build serverless applications and ...

Tactibit Technologies LLC

Python Developer

Suitland, MD

$54 - $74.50/hr

... data processing. You will design and implement fully automated enterprise pipelines using a suite ... Python Developer responsibilities are: * Design and build serverless applications and ...

Leidos

Python Software Engineer

Gaithersburg, MD · Hybrid

The Terminal Flight Data Management (TFDM) program is a Federal Aviation Administration's (FAA ... Modern Development (Python, Java, PHP), Structured Data (XML, XSD, XSLT, JSON, CSV), Agile / Scrum ...

Leidos

Python Software Engineer

Gaithersburg, MD · On-site

The Terminal Flight Data Management (TFDM) program is a Federal Aviation Administration's (FAA ... Modern Development (Python, Java, PHP), Structured Data (XML, XSD, XSLT, JSON, CSV), Agile / Scrum ...

Altumint

Python Engineer

Lanham, MD · On-site +1

$110K - $125K/yr

... data ingestion, telemetry, health monitoring, and remote configuration. • Write clean ... Python with the ability to write organized, readable, and maintainable code. • Foundational ...

Black Cape

Powerful Python Developer

Bethesda, MD · On-site

$52.25 - $72/hr

Powerful Python Developer (AI and/or GIS Specialist) Location: Bethesda, MD Onsite: Expected to go ... Come join us to work on cloud-native full-stack web applications, advanced data analysis tools, and ...

Black Cape

Powerful Python Developer

Bethesda, MD · On-site

$52.25 - $72/hr

Title: Powerful Python Developer (AI and/or GIS Specialist) Locations: Bethesda, MD Onsite ... Come join us to work on cloud-native full-stack web applications, advanced data analysis tools, and ...

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All JobsPython Data JobsPython Data Jobs in Maryland

Python Data information

What is the salary for Python data analytics?

The salary for Python data analysts typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with strong skills in data manipulation, visualization, and tools like Pandas and SQL tend to earn higher salaries.

What Python jobs are in demand?

Python data-related jobs in demand include data analyst, data scientist, machine learning engineer, and backend developer. These roles often require proficiency in libraries like Pandas, NumPy, and frameworks such as TensorFlow, with employers seeking strong programming skills and experience with data analysis or AI projects.

What are some common challenges faced by Python Data professionals when working with large datasets?

Python Data professionals often encounter challenges such as optimizing code to handle large volumes of data efficiently and managing memory usage to prevent slowdowns or crashes. Working with big datasets may require leveraging tools like pandas, NumPy, or Dask, and sometimes integrating with distributed computing systems such as Apache Spark. Additionally, ensuring data quality and managing data pipelines for consistent and accurate results can be demanding. Collaborating closely with data engineers, analysts, and other stakeholders is common to ensure smooth data flow and analysis.

What is a Python Data professional?

A Python Data professional is someone who uses the Python programming language to analyze, process, and interpret data. They work with large datasets, perform data cleaning and transformation, and apply statistical or machine learning techniques to extract insights. These professionals often work in roles such as data analyst, data scientist, or data engineer, and use Python libraries like Pandas, NumPy, and scikit-learn to accomplish their tasks.

Will AI replace Python devs?

Python developers are unlikely to be fully replaced by AI, as their role involves designing, coding, and maintaining complex software systems that require human judgment and creativity. AI tools can assist with tasks like code generation and debugging, but human oversight remains essential for quality and innovation. Staying updated with new frameworks and machine learning techniques can help Python developers remain valuable in the evolving tech landscape.

What is the difference between Python Data vs Data Analyst?

AspectPython DataData Analyst
Required SkillsPython programming, data manipulation, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data science coursesData analysis certifications, Excel certifications
Work EnvironmentData science teams, programming-heavy rolesBusiness intelligence, reporting teams
Industry UsageTech, finance, healthcareRetail, marketing, finance

Python Data roles focus on programming, data manipulation, and building data pipelines using Python, while Data Analysts primarily analyze data using tools like Excel and SQL to generate reports and insights. Both roles often collaborate but differ in technical depth and tools used.

What type of jobs can I get with Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, and automation engineer. These jobs often require knowledge of libraries like Pandas, NumPy, and frameworks such as TensorFlow or Django, and may involve working in environments like cloud platforms or data centers.

What are the key skills and qualifications needed to thrive as a Python Data professional, and why are they important?

To thrive as a Python Data professional, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with data analysis or data science, typically supported by a relevant degree. Familiarity with technical tools such as pandas, NumPy, SQL, Jupyter Notebooks, and often cloud platforms or machine learning frameworks is important, and certifications like Microsoft or Google Data certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication help you extract insights from data and collaborate with stakeholders. These skills and qualities are essential to efficiently process, analyze, and interpret data, driving informed business decisions.
What are popular job titles related to Python Data jobs in Maryland? For Python Data jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Python Data jobs in Maryland look for? The top searched job categories for Python Data jobs in Maryland are:
Python Data jobs near you
Infographic showing various Python Data job openings in Maryland as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Engineer Lead

Data Engineer Lead

AST SpaceMobile

Lanham, MD • On-site

$102K - $135K/yr

Full-time

Re-posted 18 days ago

Job description

AST SpaceMobile is building the first and only global cellular broadband network in space to operate directly with standard, unmodified mobile devices based on our extensive IP and patent portfolio and designed for both commercial and government applications. Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by today's five billion mobile subscribers and finally bring broadband to the billions who remain unconnected.
Position Overview
We are seeking a Lead Data Engineer to serve as a senior individual contributor-equivalent to a Staff or Principal Data Engineer-with full ownership of analytics data architecture and engineering standards. This hands-on technical leadership role is part of a high-impact analytics team responsible for enabling data-driven decision-making across satellite network planning, capacity and demand forecasting, network operations, and performance analytics.
The Lead Data Engineer will design, build, and operate scalable, production-grade data pipelines and analytical infrastructure to ensure high-quality; reliable data is consistently available across global planning and operational workflows. This role defines how operational, network, and business data is ingested, modeled, governed, and consumed-transforming complex, heterogeneous datasets into trusted, decision-ready analytics assets.
While this position does not include people management, it carries significant technical ownership and influence. The Lead Data Engineer drives architectural strategy, establishes engineering best practices, and mentors analytics professionals to elevate data engineering maturity across the organization.
Success in this role is measured by enabling fast, confident, and consistent data-driven decision-making-not platform uptime alone. The focus is on delivering durable analytics foundations that support insight, alignment, and execution at scale
Key Responsibilities
Data Architecture & Platform Ownership
  • Own the end-to-end analytics data architecture, including ingestion, modeling, governance, and consumption patterns.
  • Design, build, and maintain scalable, reliable data pipelines supporting forecasting, network planning, and operational analytics.
  • Establish and operate a lakehouse-style architecture (raw → normalized → curated).
  • Integrate diverse, complex operational and telemetry data sources into unified analytical and semantic models.

Analytics Enablement & Decision Systems
  • Translate ambiguous business needs into durable data products, including curated datasets, semantic layers, and standardized KPIs.
  • Define KPI frameworks with consistent definitions, calculations, and refresh logic across teams.
  • Enable self-service analytics by delivering trusted, well-documented, discoverable datasets for BI and advanced analytics.

Data Quality, Reliability & Governance
  • Implement automated validation, monitoring, and freshness checks across critical pipelines.
  • Identify and resolve systemic data issues proactively, ensuring uninterrupted operational insights.
  • Design schemas and pipelines with governance needs in mind, including lineage, auditability, and certification.

Technical Leadership & Standards
  • Serve as the technical authority for analytics engineering and own architectural decisions.
  • Establish and enforce engineering best practices, including testing, version control, documentation, and modular SQL/Python patterns.
  • Mentor analysts and engineers to raise the quality and reliability of data products.
  • Capture metadata and ownership for scalable governance and enterprise cataloging.

Qualifications
Education
  • Bachelor's degree in computer science, data engineering, information systems, or a related technical field required.
  • Master's degree preferred but not required.

Experience
  • A minimum of 7-10 years of experience in data engineering, analytics engineering, or related fields.
  • Proven experience designing and operating production-grade data systems at scale.

Preferred Qualifications
  • Experience in telecom, satellite networks, IoT, or other high-volume telemetry data environments.
  • Familiarity with predictive analytics, forecasting workflows, or ML-driven feature pipelines.
  • Hands-on experience implementing data quality frameworks, metadata systems, or data lineage tooling.
  • Experience supporting enterprise analytics on a global scale.

Soft Skills
  • Strong interpersonal skills and ability to collaborate across cross-functional teams.
  • Excellent written and verbal communication skills.
  • Strong problem-solving, debugging, and prioritization abilities.
  • Ability to operate effectively in fast-moving, ambiguous environments.
  • Meticulous attention to detail, ensuring accuracy across all documentation and data products.
  • Demonstrated ability to translate complex technical concepts for non-technical stakeholders.

Technology Stack
  • SQL (advanced proficiency for analytics-grade modeling and transformations)
  • Python (data processing, automation, pipeline development)
  • Cloud platforms such as AWS (preferred), Azure, or GCP
  • ETL/ELT tools such as Airflow, Prefect, or Azure Data Factory
  • Modern data ecosystems including Databricks, Snowflake, Redshift, or similar
  • BI and analytics tools such as Power BI, Tableau, or Looker
  • Version control (Git), CI/CD, and modern testing frameworks

Physical Requirements
  • Ability to work in a standard office environment and use a computer for extended periods.
  • Occasional virtual or in-person collaboration across global teams.

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands.
AST SpaceMobile is an Equal Opportunity, at will Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

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